AI Content Licensing Product Manager

IEEE • Piscataway, NJ

1d • Remote

About The Position

Under the direction of the Director, Institutional Information Products, the AI Content Licensing Product Manager manages AI content licensing product strategy in a rapidly evolving space. The role delivers solutions that bring peer-reviewed IEEE research into AI research assistants, discovery platforms, enterprise AI systems, and agentic workflows, helping IEEE remain an authoritative source for technical researchers in AI-mediated experiences. The position also strengthens customer relationships and supports commercial sustainability in this emerging area. This is a fully remote opportunity.

The Product Manager supports IEEE’s AI product strategy and portfolio, develops standards and guidelines for attribution and provenance, works with customers and partners on opportunities, manages API access requests, and owns product requirements and execution in the SCRUM workflow. The role collaborates with Sales, Legal & Compliance, Information Technology, global sales, client support, and product launch teams to shape agreements, fulfill customer commitments, translate market needs into product requirements, manage the data licensing roadmap, and communicate product positioning and use cases.

Requirements

• 4–7 years of experience in business, product management, product marketing, licensing, or related roles.
• Ability to work on a tight schedule and ensure projects are completed on or before deadlines.
• Strong analytical and communication skills.
• Business understanding of generative AI products, including retrieval-augmented generation, agentic workflows, and how they are evaluated.
• Ability to independently drive product execution across multiple workstreams with a mix of dependencies.
• Successful go-to-market and product launch experience.
• Ability to foster a data-driven culture across a team.
• Comfort with rapid prototyping, including building proofs of concept and validating ideas alongside engineering and data science teams.
• Technical fluency, sound analytical judgment, ability to reason about system boundaries and trade-offs, contribute substantively to architecture discussions, and engage credibly with AI researchers, engineers, and platform teams.

Nice To Haves

• 4–7 years of experience in B2B publishing.
• Experience in customer discovery in academic, research, or corporate information markets.
• Experience developing products with AI.

Responsibilities

• Support IEEE’s AI product strategy, vision, and roadmap for agentic retrieval and orchestration, including product portfolio development.
• Develop strategy and guidelines for attribution, link-back, and provenance standards for AI tools displaying IEEE content, ensuring traffic and institutional subscription value route back to IEEE Xplore.
• Partner with Sales to work directly with customers and partners to evaluate opportunities and provide guidance on proposals.
• Manage the API access request process for evaluating new opportunities and supporting existing customers.
• Develop business-side requirements and take product ownership in the SCRUM workflow.
• Work with Global Sales and Legal & Compliance to review and negotiate customer agreements regarding AI terms of use, including suggesting new contractual provisions as the market evolves.
• Work with Information Technology to ensure customer commitments are met for content delivery for testing and purchase fulfillment.
• Gather market-based requests, evaluate their broader worthiness and viability, and make recommendations on product portfolio and strategy.
• Translate validated market expectations into requirements with clear acceptance criteria; make trade-offs explicit when new requirements displace committed work and facilitate product decision-making.
• Support market expectations for delivery of Model Context Protocol (MCP) access as a standardized interface for AI tools.
• Manage the data licensing roadmap.
• Communicate product functionality and use cases to global sales and client support teams, and work with the product launch and engagement team on positioning, messaging, and collateral.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed